Method for measuring forest by unmanned aerial vehicle aerial photography remote sensing

Abstract

This invention discloses one forest measurement method without human aviation cameral remote sensor, which adopts aviation device as remote platform without human and integrated digital codes camera, difference GPS and top platform, wherein, it uses digital camera technique to get high earth resolution rate without human remove image with large proportion rules fully in use of high flexible machine without special plane spot and capable of flying under clouds.

Description

1. Technical field [0001] The invention relates to a forest measurement technology in forest resource investigation, in particular to a method for forest measurement with aerial photography and remote sensing by unmanned aerial vehicles. 2. Technical Background [0002] The traditional method of forest resource survey is to set up ground sample plots for regular measurement and at the same time generally use aerial remote sensing and space satellite remote sensing to conduct forest resource surveys. However, the above-mentioned techniques have their obvious shortcomings and deficiencies: [0003] ① When setting up ground sample plots for regular measurement, the action is slow, the workload is large, a large amount of manual input is required, the cost is high, and the cycle is long; [0004] ②The use of ordinary manned aerial remote sensing is relatively expensive due to the need for many links such as transitions, and it is difficult to carry out frequently, and the safety...

AI Technical Summary

Problems solved by technology

[0003] ① When setting up ground sample plots for regular measurement, the action is slow, the workload is large, a large amount of manual input is required, the cost is high, and the cycle is long;

[0004] ②The use of ordinary manned aerial remote sensing is relatively expensive due to the need for many links such as transitions, and it is difficult to carry out frequently, and the safety is poor;

[0005] ③When space satellite remote sensing is used for monitoring, the temporal and spatial resolution is low, and the flight altitude is above the clouds, so the image clarity is greatly affected by the clouds, and the forests are mostly distributed in mountainous areas with complex terrain, so the accuracy is low, while the high resolution remote sensing imagery is expensive, and is also limited by the revisit cycle and the influence of clouds

[0006] Therefore, in the process of forest resources investigation, when using traditional methods such as setting ground plots, manned aerial remote sensing and space satellite remote sensing, it will inevitably bring a lot of trouble and low efficiency.

Therefore, the existing technology has disadvantages such as high cost, long period, great influence by clouds, and poor security. How to reduce the cost, shorten the image update cycle, improve image clarity, and increase security without affecting the accuracy of aerial surveys has become an important issue. Problems to be Solved Urgently by Scientists and Technologists in the Field